HEAL DSpace

ACCELERATING VECTOR ITERATION METHODS.

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dc.contributor.author Papadrakakis, M en
dc.date.accessioned 2014-03-01T01:06:32Z
dc.date.available 2014-03-01T01:06:32Z
dc.date.issued 1986 en
dc.identifier.issn 0021-8936 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/9447
dc.subject Iteration Method en
dc.subject.classification Mechanics en
dc.subject.other MECHANICS - Applications en
dc.subject.other PARTIAL ELIMINATION en
dc.subject.other PARTIAL PRECONDITIONING en
dc.subject.other PARTIAL PRECONDITIONING PROCESS en
dc.subject.other MATHEMATICAL TECHNIQUES en
dc.title ACCELERATING VECTOR ITERATION METHODS. en
heal.type journalArticle en
heal.identifier.primary 10.1115/1.3171754 en
heal.identifier.secondary http://dx.doi.org/10.1115/1.3171754 en
heal.language English en
heal.publicationDate 1986 en
heal.abstract This paper describes a technique for accelerating the convergence properties of iterative methods for the solution of large sparse symmetric linear systems that arise from the application of finite element method. The technique is called partial preconditioning process (PPR) and can be combined with pure vector iteration methods, such as the conjugate gradient, the dynamic relaxation, and the Chebyshev semi-iterative methods. The proposed triangular splitting preconditioner combines Evans' SSOR preconditioner with a drop-off tolerance criterion. The (PPR) is attractive in a FE framework because it is simple and can be implemented at the element level as opposed to incomplete Cholesky preconditioners, which require a sparse assembly. en
heal.publisher ASME-AMER SOC MECHANICAL ENG en
heal.journalName Journal of Applied Mechanics, Transactions ASME en
dc.identifier.doi 10.1115/1.3171754 en
dc.identifier.isi ISI:A1986C850900009 en
dc.identifier.volume 53 en
dc.identifier.issue 2 en
dc.identifier.spage 291 en
dc.identifier.epage 297 en


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